Signals and Systems (EC 321M) - COE Alexandria | AASTMT
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Signals and Systems (EC 321M)

University/Academy: Arab Academy for Science, Technology & Maritime TransportFaculty/Institute: College of Engineering & TechnologyProgram: B.Sc. in Electronics & Communications EngineeringForm no. (12): Course Specification1- Course DataCourse Code: EC321M Course Title: Signals and Systems Academic Year/Level: 3rd year / 5th semesterSpecialization: Electronics & Comm. Eng. No. of Instructional Units (hrs.) Prerequisite: Credit 3 Lecture 2 Tutorial 2 Practical 2 BA224 & EE231 Contact 6 2- Course AimThe course examines the concept of line spectrum as well as the continuous spectrum using Fourier Transform (FT)T. Additionally it introduces the mathematical background required for the remainder of communication courses.3- Intended Learning Outcomesa- Knowledge and Understanding Define different special functions such as delta function, unit step function and signum functionCa2: Demonstrate knowledge and understanding of elementary science underlying electronic engineering system and information technology. Define different types of signals. Understand how to describe signals in the time domain and the frequency Describe the convolution process in the time and frequency domain.Ca3: Identify science, math. & tech. base relevant to electronic and communication engineering. Demonstrate the sampling process. Understand the power and the energy spectral density concept. Define the correlation process.Da2: Understand communication systems, signal processing and optoelectronics Demonstrate the relationship between the auto-correlation and the spectral density. Define the Hilbert transform and complex and natural envelope Examine discrete and continuous system for causality, stability and time invariance Define the LPF and HPF filtersDescribe the LPF and HPF in the time and frequency domainb- Intellectual Skills Through intellectual skills, students will be able to:Db1: Select appropriate mathematical and computer-based methods for modelingand analyzing problems Determine the Fourier transform of a signal given its time domain representation Calculate the convolution between a given two signals Apply Fourier transform on special function Apply Fourier transform on periodic signals Calculate the Nyquist rate Apply the convolution process on the discrete signal Determine the Fourier transform of a discrete signal Calculate the spectral density of a signal given its auto-correlation function Determine the impulse response and the transfer function of a given system Apply the correlation on discrete- time signalc- Professional and Practical Skills Through professional and practical skills, students will be able to:Db1: Select appropriate mathematical and computer-based methods for modelingand analyzing problems Classify different signals Determine the Fourier transform of a signal given its time domain representation Calculate the convolution between a given two signals Apply Fourier transform on special function Apply Fourier transform on periodic signals Calculate the Nyquist rate Apply the convolution process on the discrete signal Determine the Fourier transform of a discrete signal Calculate the spectral density of a signal given its auto-correlation function Determine the impulse response and the transfer function of a given system Apply the correlation on discrete- time signald- General Skills Through general and transferable skills, students will be able to:Db1: Select appropriate mathematical and computer-based methods for modelingand analyzing problems Determine the Fourier transform of a signal given its time domain representation Calculate the convolution between a given two signals Apply Fourier transform on special function Apply Fourier transform on periodic signals Calculate the Nyquist rate Apply the convolution process on the discrete signal Determine the Fourier transform of a discrete signal Calculate the spectral density of a signal given its auto-correlation function Determine the impulse response and the transfer function of a given system Apply the correlation on discrete- time signal 4- Course Content Week No.1 Introduction and types of signals and systems. Week No.2 Introduction to Fourier Transform. Week No.3 Properties of Fourier Transform. Week No.4 Time and frequency convolution. Week No.5 F.T of special functions. Week No.6 F.T of periodic signals. Week No.7 Sampling Theory, discrete time signals. Week No.8 Convolution of discrete time signals and DFT. Week No.9 Spectral density and Correlation (Auto, Cross) of power and energy signals. Week No.10 Hilbert transform / Complex and natural envelope. Week No.11 System Impulse response and transfer function - System Characteristics: Linearity, Time Invariance, Stability, and Causality for continuous and discrete systems. Week No.12 Conditions for distortion-less transmission through a stable system. Week No.13 Impulse response of discrete-time system and discrete convolution – discrete correlation - Auto-correlation & Cross-correlation of discrete signals. Week No.14 Ideal LPF filters in time and frequency domains. Week No.15 Ideal BPF filters in time and frequency domains.5- Teaching and Learning Methods• Lectures • Tutorials• Reports & sheets• Presentations• Projects• Discussions • Problem Solving • Self-Learning • Site visits • Experimental • Brain storming6-Teaching and Learning Methods for Students with Special Needs• Lectures • Tutorials• Reports & sheets• Presentations• Projects• Discussions • Problem Solving • Self-Learning • Site visits • Experimental • Brain storming Engineering Requirements and Design Considerations in college Buildings and its Leading Passages• The design of college buildings and pedestrian passages leading to it are sloppy to allow the transportation of the handicapped • Doors are wide enough to let wheel chairs pass through easily and conveniently.• Lifts are provided for movement between floors.• Doors are made from light-weight materials to make it easy for the handicapped suffering from weakness in limb muscles or those handicapped using prosthetic limbs to deal with them with the least muscular effort.• Class floors are made from non-slippery materials to prevent falls on the part of the handicapped.• Sudden changes in the floor level are prevented.Design Considerations of the Classes • Class boards are placed at 60 cm high to allow wheeled chair users or those suffering from limited arm mobility use them.• Enough spaces are left between seats and benches to prevent hindering the movement of wheeled chairs between them.• Handicapped students sit among normal people in class to be able to interact with them. Nevertheless, in urgent cases according to the nature of the disability, the handicapped students sit in fixed suitable places whether at the front or the back of the class.• Handicapped students sit close to the main exits of the class to be able to evacuate in case of emergencies.Construction Facility: Room number (234 A) is allocated and equipped with the essential educational tools for handicapped students.Academic Support:• Dr. Iman Gamal Morsi is appointed as an academic supervisor for handicapped students.Constant follow ups are done for handicapped students after each assessment to evaluate their academic level of achievement. 7- Student Assessment     a- Procedures used 1. Written Examinations2. Oral Examinations3. Practical Examinations4. Assignments5. Presentations 6. Reports7. Quizes8. Projects9. Final Examinationb- Schedule and Weighing of Assessment Assessment 1 7th Week 30%Assessment 2 12th Week 20%Assessment 3 Final Exam 40%Assessment 4 Continuous Assessments 10% Total: 100%8- List of References:a- Course Notes Notes are handed-out to the students throughout the semester.b- Required Books (Textbooks) Charles L. Philips, John Parr and Eve Riskin "Signals, Systems and Transforms” 4th Ed. 2008, Prentice Hall.c- Recommended Books • Alan V. Oppenheim “Signals and systems” Prentice Hall.d- Periodicals, Web Sites, etc. N/ACourse Coordinator Head of DepartmentName: Prof. Ehab Badran Name: Prof. Dr. Maha SharkasSignature: Signature: